Abstract
In this work, we propose an iterative method for finding a common solution of a variational inclusion problem involving a maximally monotone operator and a fixed point problem for a pseudocontractive mapping in real Hilbert space. Under some standard and easy-to-verify conditions, we establish that the sequence generated by the proposed method converges strongly to a solution of the considered problem. Numerical illustrations and application in image recovery suggest that the proposed method is easy to implement and efficient.
Similar content being viewed by others
Availability of data and materials
Not applicable.
References
Abubakar J, Kumam P, Hassan Ibrahim A, Padcharoen A (2020) Relaxed inertial tseng’s type method for solving the inclusion problem with application to image restoration. Mathematics 8(5):818
Abubakar J, Kumam P, Garba AI, Abdullahi MS, Ibrahim AH, Jirakitpuwapat W (2022) An efficient iterative method for solving split variational inclusion problem with applications. J Ind Manag Optim 18(6):4311–4331
Abubakar J, Chaipunya P, Kumam P (2023) Iterative method for split equilibrium problem and minimization problem via conjugate gradient method. J Comput Appl Math 429:115191
Bauschke HH, Combettes PL et al (2011) Convex analysis and monotone operator theory in Hilbert spaces. Springer, vol 408
Bello Cruz J, Díaz Millán R (2015) A variant of forward-backward splitting method for the sum of two monotone operators with a new search strategy. Optimization 64(7):1471–1486
Brezis H (1973) Operateurs maximaux monotones et semi-groupes de contractions dans les espaces de Hilbert. Elsevier
Cevher V, Vũ BC (2021) A reflected forward-backward splitting method for monotone inclusions involving lipschitzian operators. Set Valued Var Anal 29:163–174
Cholamjiak P, Suantai S, Sunthrayuth P (2020) An explicit parallel algorithm for solving variational inclusion problem and fixed point problem in banach spaces. Banach J Math Anal 14:20–40
Cholamjiak W, Khan SA, Yambangwai D, Kazmi KR (2020) Strong convergence analysis of common variational inclusion problems involving an inertial parallel monotone hybrid method for a novel application to image restoration. Revista de la Real Academia de Ciencias Exactas. Físicas y Naturales. Serie A. Matemáticas 114:1–20
Gibali A, Thong DV (2018) Tseng type methods for solving inclusion problems and its applications. Calcolo 55:1–22
Goebel K, Reich S (1984) Uniform convexity, hyperbolic geometry, and nonexpansive mappings. In: Series Monographs and Textbooks in Pure and Applied Mathematics. Marcel Dekker, Inc., New York, vol 83
Izuchukwu C, Reich S, Shehu Y, Taiwo A (2023) Strong convergence of forward-reflected-backward splitting methods for solving monotone inclusions with applications to image restoration and optimal control. J Sci Comput 94(3):73
Lions JL (1971) Optimal control of systems governed by partial differential equations. Springer, vol 170
Lions P-L, Mercier B (1979) Splitting algorithms for the sum of two nonlinear operators. SIAM J Num Anal 16(6):964–979
Maingé P-E, Gobinddass M-L (2016) Convergence of one-step projected gradient methods for variational inequalities. J Optim Theory Appl 171:146–168
Malitsky Y (2015) Projected reflected gradient methods for monotone variational inequalities. SIAM J Optim 25(1):502–520
Passty GB (1979) Ergodic convergence to a zero of the sum of monotone operators in hilbert space. J Math Anal Appl 72(2):383–390
Reich S (1977) Extension problems for accretive sets in banach spaces. J Funct Anal 26(4):378–395
Rezapour S, Zakeri SH (2020) Hybrid method for equilibrium problems and variational inclusions. J Inequal Appl 2020(1):1–20
Rockafellar RT (1976) Monotone operators and the proximal point algorithm. SIAM J Control Optim 14(5):877–898
Salisu S, Kumam P, Sriwongsa S, Abubakar J (2022) On minimization and fixed point problems in hadamard spaces. Comput Appl Math 41(3):117
Suparatulatorn R, Khemphet A (2019) Tseng type methods for inclusion and fixed point problems with applications. Mathematics 7(12):1175
Suparatulatorn R, Khemphet A, Charoensawan P, Suantai S, Phudolsitthiphat N (2020) Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem. Int J Comput Math 97(7):1431–1443
Takahashi S, Takahashi W, Toyoda M (2010) Strong convergence theorems for maximal monotone operators with nonlinear mappings in hilbert spaces. J Optim Theory Appl 147:27–41
Tseng P (2000) A modified forward-backward splitting method for maximal monotone mappings. SIAM J Control Optim 38(2):431–446
Van Hieu D, Anh PK, Muu LD (2021) Modified forward–backward splitting method for variational inclusions. 4OR, 19:127–151
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612
Wang Y, Xu T, Yao J-C, Jiang B (2022) Self-adaptive method and inertial modification for solving the split feasibility problem and fixed-point problem of quasi-nonexpansive mapping. Mathematics 10(9):1612
Wang Y, Gao Y, Jiang B (2023) Weak and strong convergence of a modified adaptive generalized popov’s algorithm for solving variational inequality problems. Optimization, pp 1–26
Wen M, Hu C, Cui A, Peng J (2020) Algorithms for finding a common element of the set of common fixed points for nonexpansive semigroups, variational inclusions and generalized equilibrium problems. Revista de la Real Academia de Ciencias Exactas. Físicas y Naturales. Serie A. Matemáticas 114:1–20
Xu H-K (2002) Iterative algorithms for nonlinear operators. J Lond Math Soci 66(1):240–256
Yao Y, Liou Y-C, Yao J-C (2015) Split common fixed point problem for two quasi-pseudo-contractive operators and its algorithm construction. Fixed Point Theory Appl 2015:1–19
Yao Y, Postolache M, Yao J-C (2019) An iterative algorithm for solving generalized variational inequalities and fixed points problems. Mathematics 7(1):61
Yao Z, Wu Y-K, Wen C-F (2021) Strong convergence analysis of iterative algorithms for solving variational inclusions and fixed-point problems of pseudocontractive operators. J Math 2021:1–7
Zhang C, Dong Q-L, Chen J (2020) Multi-step inertial proximal contraction algorithms for monotone variational inclusion problems. Carpath J Math 36(1):159–177
Zhao X, Yao J-C, Yao Y (2020) A proximal algorithm for solving split monotone variational inclusions. UPB Sci Bull Ser A 82:43–52
Zhou H (2009) Strong convergence of an explicit iterative algorithm for continuous pseudo-contractions in banach spaces. Nonlinear Anal Theory Methods Appl 70(11):4039–4046
Acknowledgements
The authors acknowledge the financial support provided by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT. Moreover, this research project is supported by Thailand Science Research and Innovation (TSRI) Basic Research Fund: Fiscal year 2024 Grant number FRB670073/0164. The first author was supported by Petchra Pra Jom Klao Master’s Degree Scholarship from King Mongkut’s University of Technology Thonburi (Grant No. 17/2564).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no competing interests.
Additional information
Communicated by Justin Wan.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kratuloek, K., Kumam, P., Sriwongsa, S. et al. A relaxed splitting method for solving variational inclusion and fixed point problems. Comp. Appl. Math. 43, 70 (2024). https://doi.org/10.1007/s40314-023-02583-5
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40314-023-02583-5
Keywords
- Variational inclusion problem
- Extrapolation step
- Fixed point
- Monotone operator
- Maximal monotone operator
- Pseudocontractive mapping
- Image recovery